Natural Language Processing (NLP), the branch of machine learning and AI which deals with bridging the gap between human language and computer understanding, is all the rage right now. Once a relatively niche topic, in the past few years landmark new models and applications have brought NLP to the center-stage of real-world enterprise data science and AI.
This webinar will give data scientists a framework for getting started with NLP projects. It will go over:
• What exactly NLP is and how it’s used
• How to clean and pre-process text for machine learning projects
• An overview of some of the main NLP algorithms and how they work
Katie Gross is a Lead Data Scientist at Dataiku, where she helps clients across industries develop AI solutions using Dataiku DSS. Previously, she worked as a data scientist at a marketing science firm, Schireson and did freelance data science work for IBM and a dating app, Radiate. Prior to her data science life, Katie spent three years as a CPG consultant at Nielsen. Katie holds a BA in Economics from Colgate University.